Search (5 results, page 1 of 1)

  • × classification_ss:"54.72 Künstliche Intelligenz"
  1. Rojas, R.: Theorie der neuronalen Netze : eine systematische Einführung (1993) 0.08
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    Classification
    ST 285 Informatik / Monographien / Software und -entwicklung / Computer supported cooperative work (CSCW), Groupware
    RVK
    ST 285 Informatik / Monographien / Software und -entwicklung / Computer supported cooperative work (CSCW), Groupware
  2. Daconta, M.C.; Oberst, L.J.; Smith, K.T.: ¬The Semantic Web : A guide to the future of XML, Web services and knowledge management (2003) 0.01
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    Abstract
    "The Semantic Web is an extension of the current Web in which information is given well defined meaning, better enabling computers and people to work in cooperation." - Tim Berners Lee, "Scientific American", May 2001. This authoritative guide shows how the "Semantic Web" works technically and how businesses can utilize it to gain a competitive advantage. It explains what taxonomies and ontologies are as well as their importance in constructing the Semantic Web. The companion web site includes further updates as the framework develops and links to related sites.
    Date
    22. 5.2007 10:37:38
  3. Handbook of metadata, semantics and ontologies (2014) 0.01
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    RSWK
    Metadaten / Ontologie <Wissensverarbeitung> / Aufsatzsammlung
    Subject
    Metadaten / Ontologie <Wissensverarbeitung> / Aufsatzsammlung
  4. Rubel, A.; Castro, C.; Pham, A.: Algorithms and autonomy : the ethics of automated decision systems (2021) 0.00
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    Abstract
    Algorithms influence every facet of modern life: criminal justice, education, housing, entertainment, elections, social media, news feeds, work... the list goes on. Delegating important decisions to machines, however, gives rise to deep moral concerns about responsibility, transparency, freedom, fairness, and democracy. Algorithms and Autonomy connects these concerns to the core human value of autonomy in the contexts of algorithmic teacher evaluation, risk assessment in criminal sentencing, predictive policing, background checks, news feeds, ride-sharing platforms, social media, and election interference. Using these case studies, the authors provide a better understanding of machine fairness and algorithmic transparency. They explain why interventions in algorithmic systems are necessary to ensure that algorithms are not used to control citizens' participation in politics and undercut democracy. This title is also available as Open Access on Cambridge Core
  5. Kurzweil, R.: Menschheit 2.0 : die Singularität naht (2014) 0.00
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    Date
    22. 1.2018 17:33:05

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